Impact on Firm Liquidity Arising from Outsourcing Decisions as Evidenced by Off-Balance-Sheet Disclosures

International Advances in Economic Research - Based on transaction-cost and resource-based theories (and other approaches), there is an extensive literature on the range of factors that are viewed...     

Preventing motor vehicle crash injuries and deaths: science vs. folklore lessons from history

Abstract

Not long after the beginnings of motorization in the early 1900s, deaths and injuries from motor vehicle crashes became a problem in a number of high-income-countries (HIC)s, especially the United States. With the biggest problem the US led early efforts to address this issue, and for six decades these efforts were based on folklore (ie a body of widely held but false or unsubstantiated beliefs). They were not evaluated, but clearly were unsuccessful as crash deaths and injuries continued to rise. It was not until the 1970s that a broader range of countermeasures began to be adopted and was scientifically evaluated, and as a result, crash deaths and injuries declined. This history has important lessons today for many low-and-middle-income countries that have growing numbers of motor vehicle crash deaths and injuries, many of which are pedestrians and motorcyclists. This is because there continue to be advocates for many of the failed approaches (especially educational) that dominated the early efforts in HICs.     

From private label to co-branded credit card: an assessment of the impact of a change in value proposition over customer value perception and company value capture

Journal of Financial Services Marketing - Purpose: The aim of this paper is to evaluate the success of a value proposition over time, considering two aspects: customer’s perceived value and...     

The American Inventors Protection Act: A Natural Experiment on Innovation Disclosure and the Cost of Debt

We examine the impact of innovation disclosure through patenting on firms' cost of debt, focusing on the American Inventors Protection Act (AIPA) as an exogenous shock in innovation disclosure regulation. Post‐AIPA, firms have an incentive to apply for patents only if commercial success is likely. Accordingly, we expect post‐AIPA patents to be a better proxy for successful innovation activity, and thus to have a stronger effect on reducing the cost of debt than pre‐AIPA patents. Indeed, we find that pre‐AIPA patents reduce the cost of debt only for the most innovative firms, while post‐AIPA, this effect holds for all firms.     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

Peer effects in the diffusion of water‐saving agricultural technologies

We investigate the role of peer effects in the diffusion of an important water‐saving irrigation technology: low energy precise application (LEPA). Using detailed irrigation behavior data for growers in the High Plains Aquifer region of Kansas covering 1990–2014, we find clear evidence of peer influence in adoption of LEPA, net of environmental factors. Specifically, an additional neighboring LEPA installation within 1 km increases the probability of adoption by about 0.3 percentage points, on average, and this effect diminishes with distance. Our empirical estimates indicate that in the absence of peer effects, LEPA adoption would have been about 10% lower (1,000–1,600 fewer installations) per year. In addition, we find that growers install LEPA in response to higher energy prices.     

Evaluation of Sustainable Development Indicators for Regions of Russia

It has been shown how static and dynamic characteristics could be used for a comparative assessment of social, environmental, and economic development, as well as the development balance in social, economic, and ecological spheres. The proposed methodological toolkit has made it possible to identify problem areas and stably manifested dynamic disproportions in the investigated regions, which require corrective actions in order to ensure sustainable development.     

The Differential Impact of IFRS Adoption on Aspects of Seasoned Equity Offerings in the UK and France

We examine the potential for IFRS to influence the market for SEOs in the UK and France. The divergence between the UK domestic accounting standards and IFRS is minor (low-divergence firms) whereas domestic accounting standards in France differ materially from IFRS (high-divergence firms); however, both countries have similar legal enforcement and institutional settings that might confound the effect of IFRS adoption. We argue that IFRS adoption serves to mitigate information asymmetry and improve accounting quality. Accordingly, we find that, following IFRS adoption, earnings management activities decrease among high-divergence firms prior to issuing SEOs. As a result of the lower levels of earnings management and information asymmetry, we predict and find that the market reaction to issuing SEOs improves significantly for high-divergence firms following IFRS. Given that equity financing becomes less costly, we find that the propensity to issue new SEOs increases among high-divergence firms after IFRS adoption. We find no similar changes among low-divergence firms. The results persist after running a matched-sample analysis and controlling for potential self-selection bias.     

A sequential Monte Carlo approach to inference in multiple‐equation Markov‐switching models

Vector autoregressions with Markov‐switching parameters (MS‐VARs) offer substantial gains in data fit over VARs with constant parameters. However, Bayesian inference for MS‐VARs has remained challenging, impeding their uptake for empirical applications. We show that sequential Monte Carlo (SMC) estimators can accurately estimate MS‐VAR posteriors. Relative to multi‐step, model‐specific MCMC routines, SMC has the advantages of generality, parallelizability, and freedom from reliance on particular analytical relationships between prior and likelihood. We use SMC's flexibility to demonstrate that model selection among MS‐VARs can be highly sensitive to the choice of prior.